# Course Syllabus MATH 110 Introduction to Statistics 3 credits

Size: px
Start display at page:

Transcription

1 Course Syllabus MATH 110 Introduction to Statistics 3 credits Prerequisites: Algebra proficiency is required, as demonstrated by successful completion of high school algebra, by completion of a college algebra course, or their equivalent as determined by Portage staff. Instructor: Matthew Dodd, MS; H. Elaine Frey, MA Contact Info: Faculty may be contacted through the Portage messaging system Course web site address: Course meeting times: MATH 110 is offered continuously Course Description: A general introduction to mathematical statistics as a tool used in the decision making process. The course text, homework assignments and examinations will emphasize interpretation of data. The framework of the course is designed to develop in the student an understanding of summarized data (ungrouped and grouped) in both descriptive and inferential statistical applications through the use of frequency distributions, measures of central tendency and measures of dispersion; outcome probabilities and the various concepts related to discrete and continuous probability distributions; the concepts surrounding random sampling and interval estimating for populations and large & small samples; classical hypothesis testing and with one-tailed & two-tailed testing; comparisons involving means; regression analysis, and statistical process control methods. Course Outcomes: As a result of this course experience a student should be able to explain: The difference between qualitative and quantitative data, be able to organize the data and present a meaningful overview of the data through the use of frequency distributions, measures of central tendency (i.e. the mean, median and mode) and measures of dispersion (i.e. the variance, standard deviation and coefficient of variation) The rules involved in developing outcome probabilities and how to apply the appropriate counting methods in the development of the probabilities of outcomes in an experiment. The difference between a discrete probability distribution and a continuous probability distribution. The concepts involving random sampling, the sampling distributions of x-bar (x ) and p-bar (p ) and other methods. The null & alternative hypothesis in classical hypothesis testing along with type I and II errors; onetailed & two-tailed testing involving populations and both large & small samples. Linear regression analysis and lines of best fit. Each of these MATH 101 student learning outcomes is measured: Directly by: (1) module application problems (with instructor feedback) (2) exams (3) comparison of pre-course / final exam results

3 Grading Rubric: Module 1 Exam = 30 pts. Module 2 Exam = Module 3 Exam = Module 4 Exam = Module 5 Exam = Module 6 Exam = Module 7 Exam = Module 8 Exam = Module 9 Exam = 35 pts. Module 10 Exam = Final exam = 200 pts. Total 30 pts. 35 pts. 100 pts. 565 pts. The current course grade and progress is continuously displayed on the student desktop. Grading Scale: 89.5% - 100% ( pts) = A 79.5% % ( pts) = B 69.5% % ( pts) = C 59.5% % ( pts) = D <59.4% (<336 pts) = F Modules and Assignments Module 1: Module 2: An introduction to data and statistics. This module discusses why statistics are important, and where statistical analysis is used. Students will learn about different types of data that might be used in statistical analysis. Topics covered include: Quantitative and Qualitative Data, Experimental and Observational Studies, Data Errors, Outliers, Descriptive Statistics, Histograms, Populations, and Samples. An introduction to descriptive statistics using tabular, graphical and numerical methods. This module considers ways to describe and represent data. Topics covered include: Frequency Distributions, Relative Frequencies, Charts (Column, Bar, and Pie), Cross-Tabulation, Scatter Diagrams, Measures of Central Tendency, Percentiles, Quartiles, Measures of Dispersion, Z- scores, Bell Curves, and Sample Covariance. Module 3: An overview of probability. This module considers experiments and the likelihood that an event will occur. Students are taught to calculate probabilities using multiple techniques. Topics

4 covered include: Probability Distributions, Sample Space, Counting Techniques, Permutations, Combinations, Complements, Union, Intersection, Mutually Exclusive Events, Conditional Probabilities, and Bayes Theorem. Module 4: An introduction to probability distributions. Students will learn about the standard normal probability distribution, and how the data is distributed with respect to the mean. Topics covered include: Random Variables (Discrete and Continuous), Expected Values, Binomial Probability Distributions, Normal Distributions, and The Standard Normal Table. Module 5: An overview of sampling and sampling distributions. This module explains how to calculate descriptive statistics when working with a sample instead of the entire population. Topics Covered include: Statistical Inference, Simple Random Samples, Sample Mean, Sample Proportions, The Central Limit Theorem, Sample Error, and Sample Size. Module 6: An introduction to interval estimation. In this module students will learn how to take a sample, find its mean, and use this information to estimate the population mean. Students will be able to construct confidence intervals for the population mean. Topics covered include: Confidence Intervals, Confidence Levels, Means, and Proportions. Module 7: An introduction to hypothesis testing. In this module students will be guided through the process of hypothesis testing. Students will learn to make assumptions about a certain characteristic of the population and then test to see if the hypothesis is true. Topics covered include: Null Hypothesis, Alternate Hypothesis, One-Tailed and Two-Tailed Tests, Type I and Type 2 errors, and Level of Significance. Module 8: An introduction to comparisons involving means and proportions. In this module students will study interval estimation and hypothesis testing for differences between two population means as well as for differences between two population proportions. Topics covered include: Dependent Samples, Independent Samples, Hypothesis Testing Involving Differences between Means, and Hypothesis Testing for Dependent Samples. Module 9: An introduction to regression analysis. Students will learn how to calculate the linear correlation coefficient for a set of data to reveal how well two variables are correlated. Students will also learn how to find the best fit line that approximates the relationship between these variables. Topics covered include: Linear Correlation Coefficients, Positive Correlations, Negative Correlations, Critical Values Correlation Coefficient, and Linear Regression

5 Module 10: An overview of various tests that were not covered in previous modules. Students will learn about goodness of fit tests, tests for independence, and analysis of variance. Topics covered include: Chi-Square Distributions, F Distributions, Multinomial Experiments, Expected Counts, Goodness of Fit Tests, and Tests for Independence. Holidays: During the following holidays, all administrative and instructional functions are suspended, including the grading of exams and issuance of transcripts. New Year's Day Easter Memorial Day Independence Day Labor Day Thanksgiving weekend Christmas Break (one week before Christmas through New Year's Day) The schedule of holidays for the current calendar year may be found under the Student Services menu at Additional Tools A built-in scientific calculator for the course has been incorporated into the website and can be found in the tool bar above each module and exam page. If you choose to purchase a calculator, keep in mind that you do not need to purchase an expensive calculator as the features you will need are available on basic scientific calculators with a cost of less than \$20. Many mobile phones also include a scientific calculator and you may use a calculator during any exam.

6 Suggested Timed Course Schedule (to complete the course within a typical college semester) All Portage courses are offered asynchronously with no required schedule to better fit the normal routine of adult students, but the schedule below is suggested to allow a student to complete the course within a typical college semester. Despite this suggestion, the students may feel free to complete the course at their desired pace and on a schedule determined by them. Time Period Assignments Subject Matter Days 1-10 Module 1, Exam 1 Data and Statistics Days Module 2, Exam 2 Des. Statistics: Tabular / Graphical & Numerical Methods Days Module 3, Exam 3 Introduction to Probability Days Module 4, Exam 4 Probability Distributions Discrete and Continuous Days Module 5, Exam 5 Sampling and Sampling Distributions Days Module 6, Exam 6 Interval Estimation Days Module 7, Exam 7 Hypothesis Testing Days Module 8, Exam 8 Comparisons Involving Means Days Module 9, Exam 9 Regression Analysis Days Module 10, Exam 10 Various Tests Days Final Exam Comprehensive - including all course material Suggested External References: If the student desires to consult a reference for additional information, the following textbooks are recommended as providing complete treatment of the course subject matter. John S. Witte, Robert S. Witte, Statistics, Wylie 9 th Ed.

### Course Syllabus MATH 101 - College Algebra 3 credits

Course Syllabus MATH 101 - College Algebra 3 credits Prerequisites: High school algebra is recommended but not required Instructor: Steve Michalik, MS Facilitator: H. Elaine Frey, MA Contact Info: Faculty

### Course Syllabus SOCI 180 Introduction to Sociology 3 credits

Prerequisites: Proficiency with written English Instructor: Facilitator: Contact Info: David Guthrie, Ph.D. Course Syllabus SOCI 180 Introduction to Sociology 3 credits Sarah Wilson, M.A., B.S.N., R.N.,

### Course Syllabus BIOD 171 Essential Lab Microbiology 4 credits

Course Syllabus BIOD 171 Essential Lab Microbiology 4 credits Prerequisites: General biology and chemistry (recommended but not required) Instructor: Facilitators: Contact Info: Renee Correll, DPT Rebekah

### Course Syllabus BIOD 151 Essential Lab Human Anatomy & Physiology I 4 credits

Course Syllabus BIOD 151 Essential Lab Human Anatomy & Physiology I 4 credits Prerequisites: General biology and chemistry (recommended but not required) Instructor: Renee Correll, DPT Facilitators: Rebekah

### Course Syllabus BIOD 152 Essential Lab Human Anatomy & Physiology II 4 credits

Course Syllabus BIOD 152 Essential Lab Human Anatomy & Physiology II 4 credits Prerequisites: BIOD 151 Essential Lab Human Anatomy & Physiology I or equivalent Instructor: Facilitators: Contact Info: Renee

### Course Syllabus PSYC 101 General Psychology 3 credits

Course Syllabus PSYC 101 General Psychology 3 credits Prerequisites: Proficiency with written English Instructor: Stephanie Wilsey, PhD Facilitator: Ethan Bosch, MEd, CCDPD Contact Info: Faculty may be

### Course Syllabus PSYC 140 Developmental (Lifespan) Psychology 3 credits

Course Syllabus PSYC 140 Developmental (Lifespan) Psychology 3 credits Prerequisites: Introduction to Psychology (PSYC 101) or equivalent is strongly recommended. Students Instructor: Facilitator: Contact

### PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050

PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 2.0 Date Revised: Fall 2013 Catalog Course Description: Descriptive

### Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics

Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGraw-Hill/Irwin, 2010, ISBN: 9780077384470 [This

### Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGraw-Hill/Irwin, 2008, ISBN: 978-0-07-331988-9. Required Computing

### Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini

NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building

### STAT 360 Probability and Statistics. Fall 2012

STAT 360 Probability and Statistics Fall 2012 1) General information: Crosslisted course offered as STAT 360, MATH 360 Semester: Fall 2012, Aug 20--Dec 07 Course name: Probability and Statistics Number

### BAKERSFIELD COLLEGE. Elementary Probability and Statistics. Math B22 CRN 31535 SPRING 2016

BAKERSFIELD COLLEGE Elementary Probability and Statistics Math B22 CRN 31535 SPRING 2016 Instructor : Ms. Sabol Class Hours : TTH 5:30 PM 7:35 PM Classroom : Delano Science and Tech Center 1105 Text :

### NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York

NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York DEPARTMENT: Mathematics COURSE: MAT 1272/ MA 272 TITLE: DESCRIPTION: TEXT: Statistics An introduction to statistical methods and statistical

### STA-201-TE. 5. Measures of relationship: correlation (5%) Correlation coefficient; Pearson r; correlation and causation; proportion of common variance

Principles of Statistics STA-201-TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis

### Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010

Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Week 1 Week 2 14.0 Students organize and describe distributions of data by using a number of different

### Math 1342 STATISTICS Course Syllabus

Math 1342 STATISTICS Course Syllabus Instructor: Mahmoud Basharat; E-mail: Please use email within Eagle-Online Alternating email: basharatah@hotmail.com or mahmoud.basharat@hccs.edu. (Please use only

### Statistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013

Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.1-1.6) Objectives

### School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2

CCBC Essex School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2 CLASSROOM LOCATION: SEMESTER: Fall 2009 INSTRUCTOR: DONNA TUPPER OFFICE LOCATION: F-413 (or

### 3818 - Introduction to Statistics (Online) Syllabus/Course Information

3818 - Introduction to Statistics (Online) Syllabus/Course Information Course Description Econ 3818 is a first course in probability and statistical methods, with an introduction to econometrics. This

### The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS

1 The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS Course Number: SW 318 Instructor: Michael Bergman, Ph.D. Unique Number: 65190 Office Number: SSW 1.214 (IT Classroom) Semester:

### Fairfield Public Schools

Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity

### Alabama Department of Postsecondary Education

Date Adopted 1998 Dates reviewed 2007, 2011, 2013 Dates revised 2004, 2008, 2011, 2013, 2015 Alabama Department of Postsecondary Education Representing Alabama s Public Two-Year College System Jefferson

### LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre-

### STAT 2080/MATH 2080/ECON 2280 Statistical Methods for Data Analysis and Inference Fall 2015

Faculty of Science Course Syllabus Department of Mathematics & Statistics STAT 2080/MATH 2080/ECON 2280 Statistical Methods for Data Analysis and Inference Fall 2015 Instructor: Michael Dowd Email: michael.dowd@dal.ca

### Business Statistics MATH 222. Eagle Vision Home. Course Syllabus

Business Statistics MATH 222 EagleVision Home Course Syllabus Credit Hours: 3 Credits Academic Term: March 2012 [March 19, 2012 May 20, 2012] Meetings: Location: Instructor: Office Hours: Monday/Wednesday,

### THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS. Fall 2013

THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING 1 COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS Fall 2013 & Danice B. Greer, Ph.D., RN, BC dgreer@uttyler.edu Office BRB 1115 (903) 565-5766

### Class Syllabus. Department of Business Administration & Management Information Systems. Texas A&M University Commerce

BA 501 Quantitative Analysis for Management General Information: Class Syllabus Department of Business Administration & Management Information Systems Texas A&M University Commerce Semester: Fall 2013

### Online Basic Statistics

Online Basic Statistics Madison Area Technical College Fall 2013 Syllabus Course Information Catalog Number: 20-804-240 Class Number: 33342 Dates: 10/21/2013-12/20/2013 Credits: 4 Website: http://blackboard.madisoncollege.edu

### Economic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007)

COURSE DESCRIPTION Title Code Level Semester Credits 3 Prerequisites Post requisites Introduction to Statistics ECON1005 (EC160) I I None Economic Statistics (ECON2006), Statistics and Research Design

### Course Syllabus CHEM 108 - General Lab Chemistry for Health Professions 4 credits

Course Syllabus CHEM 108 - General Lab Chemistry for Health Professions 4 credits Prerequisites: High school chemistry (recommended, but not required) Instructor: Kenneth Hartman, PhD Contact Info: Faculty

### I ~ 14J... <r ku...6l &J&!J--=-O--

City College of San Francisco Technology-Mediated Course Proposal Course Outline Addendum I. GENERAL DESCRIPTION A. Date B. Department C. Course Identifier D. Course Title E. Addendum Preparer F. Chairperson

EC151.02 Statistics for Business and Economics (MWF 8:00-8:50) Instructor: Chiu Yu Ko Office: 462D, 21 Campenalla Way Phone: 2-6093 Email: kocb@bc.edu Office Hours: by appointment Description This course

### STAT 121 Hybrid Summer 2015 Session 2: July 6 th Aug 13 th Introduction to Statistics for the Social Sciences

STAT 121 Hybrid Summer 2015 Session 2: July 6 th Aug 13 th Introduction to Statistics for the Social Sciences Instructor: Ms. Bonnie Kegan EMAIL: bkegan1@umbc.edu Contact Numbers: 410 507 9328 (mobile)

### Truman College-Mathematics Department Math 125-CD: Introductory Statistics Course Syllabus Fall 2012

Instructor: Dr. Abdallah Shuaibi Office #: 3816 Email: ashuaibi1@ccc.edu URL: http://faculty.ccc.edu/ashuaibi/ Phone #: (773)907-4085 Office Hours: Truman College-Mathematics Department Math 125-CD: Introductory

### Class Room Units Math 15 CRN 73008 Introductory Statistics AC-304 4 Attendance Days (Hybrid Course)

Class Room Units Math 15 CRN 73008 Introductory Statistics AC-304 4 Prerequisite Math 03 with a grade of C or better. Attendance Days (Hybrid Course) Wednesday, 7:00 PM to 8:50 PM Math 15 CRN 73008 is

### Syllabus Geography 1010 Introduction to Geographic Data Spring 2015

Syllabus Geography 1010 Introduction to Geographic Data Spring 2015 Instructor: Seth Bishop Contact Information: seth.bishop@utah.edu, OSH 334 Office Hours: Tuesdays 1:30 4:30pm and by appointment. Prerequisite:

### MAT 120 Probability & Statistics Mathematics

MAT 120 Probability & Statistics Mathematics Catalog Course Description: This course includes the following topics: introductory probability and statistics, including organization of data, sample space

### Education & Training Plan. Accounting Math Professional Certificate Program with Externship

Office of Professional & Continuing Education 301 OD Smith Hall Auburn, AL 36849 http://www.auburn.edu/mycaa Contact: Shavon Williams 334-844-3108; szw0063@auburn.edu Auburn University is an equal opportunity

### Moraine Valley Community College Course Syllabus

Moraine Valley Community College Course Syllabus Course Title: Business Statistics Course Number: MTH 212 Semester: Fall 2006 I Faculty Information A. Instructor: Kevin M. Riordan, M.A. B. Office Hours:

### MATH BOOK OF PROBLEMS SERIES. New from Pearson Custom Publishing!

MATH BOOK OF PROBLEMS SERIES New from Pearson Custom Publishing! The Math Book of Problems Series is a database of math problems for the following courses: Pre-algebra Algebra Pre-calculus Calculus Statistics

### Quantitative Methods for Finance

Quantitative Methods for Finance Module 1: The Time Value of Money 1 Learning how to interpret interest rates as required rates of return, discount rates, or opportunity costs. 2 Learning how to explain

### MASTER COURSE SYLLABUS-PROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES

MASTER COURSE SYLLABUS-PROTOTYPE THE PSYCHOLOGY DEPARTMENT VALUES ACADEMIC FREEDOM AND THUS OFFERS THIS MASTER SYLLABUS-PROTOTYPE ONLY AS A GUIDE. THE INSTRUCTORS ARE FREE TO ADAPT THEIR COURSE SYLLABI

### UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010

UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 COURSE: POM 500 Statistical Analysis, ONLINE EDITION, Fall 2010 Prerequisite: Finite Math

### SYLLABUS MAC 1105 COLLEGE ALGEBRA Spring 2011 Tuesday & Thursday 12:30 p.m. 1:45 p.m.

SYLLABUS MAC 1105 COLLEGE ALGEBRA Spring 2011 Tuesday & Thursday 12:30 p.m. 1:45 p.m. Instructor: Val Mohanakumar Office Location: Office Phone #: 253 7351 Email: vmohanakumar@hccfl.edu Webpage: http://www.hccfl.edu/faculty-info/vmohanakumar.aspx.

### Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools

Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools Occam s razor.......................................................... 2 A look at data I.........................................................

### 1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number

1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number A. 3(x - x) B. x 3 x C. 3x - x D. x - 3x 2) Write the following as an algebraic expression

### MAT 282 STATISTICS 3 cr. (3-0) (online sections)

JOHN A. LOGAN COLLEGE J. Dethrow SM 11 MAT 282 STATISTICS 3 cr. (3-0) (online sections) COURSE DESCRIPTION: MAT 282 is designed to meet the needs of students requiring a statistics course with a college

### NORTHWESTERN UNIVERSITY Department of Statistics. Fall 2012 Statistics 210 Professor Savage INTRODUCTORY STATISTICS FOR THE SOCIAL SCIENCES

NORTHWESTERN UNIVERSITY Department of Statistics Fall 2012 Statistics 210 Professor Savage INTRODUCTORY STATISTICS FOR THE SOCIAL SCIENCES Instructor: Professor Ian Savage 330 Andersen Hall, 847-491-8241,

### STAT 121 Hybrid SUMMER 2014 Introduction to Statistics for the Social Sciences Session I: May 27 th July 3 rd

STAT 121 Hybrid SUMMER 2014 Introduction to Statistics for the Social Sciences Session I: May 27 th July 3 rd Instructor: Ms. Bonnie Kegan EMAIL: bkegan1@umbc.edu Contact Numbers: Mobile Phone: 410 507

### STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009

STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009 Instructor: Bill Welbourn Office: Lund 117 Email: bill.welbourn@aggiemail.usu.edu Lectures: MWF 7:30AM 9:40AM in ENGR 104 Office Hours:

### MTH 140 Statistics Videos

MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative

### MAT 168 COURSE SYLLABUS MIDDLESEX COMMUNITY COLLEGE MAT 168 - Elementary Statistics and Probability I--Online. Prerequisite: C or better in MAT 137

MAT 168 COURSE SYLLABUS MIDDLESEX COMMUNITY COLLEGE MAT 168 - Elementary Statistics and Probability I--Online Prerequisite: C or better in MAT 137 Summer Session 2009 CRN: 2094 Credit Hours: 4 Credits

### Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus

Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus Credit Hours: 3 Credits Academic Term: Term 4: 23 March 2015 24 May 2015 Meetings: Thurs 18:00-22:00 26 Mar;

### A Correlation of. to the. South Carolina Data Analysis and Probability Standards

A Correlation of to the South Carolina Data Analysis and Probability Standards INTRODUCTION This document demonstrates how Stats in Your World 2012 meets the indicators of the South Carolina Academic Standards

### Descriptive Statistics

Descriptive Statistics Primer Descriptive statistics Central tendency Variation Relative position Relationships Calculating descriptive statistics Descriptive Statistics Purpose to describe or summarize

### CLARKSON SECONDARY SCHOOL. Course Name: Mathematics of Data Management Grade 12 University

CLARKSON SECONDARY SCHOOL Course Code: MDM 4U Prerequisite: Functions, Grade 11, University Preparation, (MCR 3U0) or Functions and Applications, Grade 11, University/College Preparation, (MCF 3M0) Material

Oklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS Course/ Meeting information Semester: Fall 2014 Section: TR01F Meeting Times: 5:30 PM Thursdays Location: 2N5

### Statistical Analysis RSCH 665 Eagle Vision Classroom - Blended Course Syllabus

Statistical Analysis RSCH 665 Eagle Vision Classroom - Blended Course Syllabus Credit Hours: 3 Credits Academic Term: May 2016; 31 May 2016 01 August 2016 Meetings: Fri 1800-2200 Sat/Sun 0900-1400 (GMT+1)

### Mathematics Department Course outline Statistics for Social Science 201-401-DW

Mathematics Department Course outline Statistics for Social Science 201-401-DW COURSE OBJECTIVES To introduce basic statistical concepts to social science students. For details, see Dawson Social Science

### MATH 2412 PRECALCULUS SPRING 2015 Synonym 26044, Section 011 MW 12:00-1:45, EVC 8106

MATH 2412 PRECALCULUS SPRING 2015 Synonym 26044, Section 011 MW 12:00-1:45, EVC 8106 INSTRUCTOR: Carolynn Campbell Reed EMAIL: creed@austincc.edu WEBSITE: http://www.austincc.edu/creed PHONE/OFFICE: 223-5825

### Education & Training Plan Accounting Math Professional Certificate Program with Externship

University of Texas at El Paso Professional and Public Programs 500 W. University Kelly Hall Ste. 212 & 214 El Paso, TX 79968 http://www.ppp.utep.edu/ Contact: Sylvia Monsisvais 915-747-7578 samonsisvais@utep.edu

### Street Address: 1111 Franklin Street Oakland, CA 94607. Mailing Address: 1111 Franklin Street Oakland, CA 94607

Contacts University of California Curriculum Integration (UCCI) Institute Sarah Fidelibus, UCCI Program Manager Street Address: 1111 Franklin Street Oakland, CA 94607 1. Program Information Mailing Address:

### Why Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization. Learning Goals. GENOME 560, Spring 2012

Why Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization GENOME 560, Spring 2012 Data are interesting because they help us understand the world Genomics: Massive Amounts

### Statistics 3202 Introduction to Statistical Inference for Data Analytics 4-semester-hour course

Statistics 3202 Introduction to Statistical Inference for Data Analytics 4-semester-hour course Prerequisite: Stat 3201 (Introduction to Probability for Data Analytics) Exclusions: Class distribution:

### MATH 205 STATISTICAL METHODS

Syllabus Objective MATH 205 STATISTICAL METHODS Course Syllabus The purpose of this syllabus is to guide the participant in the requirements, demands, logistics and expectations of this course. Getting

### International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics

International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics Lecturer: Mikhail Zhitlukhin. 1. Course description Probability Theory and Introductory Statistics

### MATH 205 STATISTICAL METHODS

Syllabus Greetings and Salutations from the Land of Cool Sunshine! This course has been designed to be entirely online, including examinations. While it doesn't fit the traditional model of a college course,

### Instructor Contact Information: bon@mathfour.com, 713-557-8048, @mathfour, http://facebook.com/boncrowder

Instructor: Bon Crowder Mathematics Spring Branch Math 1324: Finite Mathematics with Applications CRN 77778 Spring 2014 Room 311 11am - 12:30 TTh 3 hour lecture course / 48 hours per semester/ 15 weeks

### Governors State University College of Business and Public Administration. Course: STAT 361-03 Statistics for Management I (Online Course)

Governors State University College of Business and Public Administration Course: STAT 361-03 Statistics for Management I (Online Course) Instructor: Kevin M. Riordan, M.A. Session: Fall Semester 2011 Prerequisite:

### II. DISTRIBUTIONS distribution normal distribution. standard scores

Appendix D Basic Measurement And Statistics The following information was developed by Steven Rothke, PhD, Department of Psychology, Rehabilitation Institute of Chicago (RIC) and expanded by Mary F. Schmidt,

### Winter 2016 MATH 631 Online University of Waterloo

Course Schedule IMPORTANT: ALL TIMES EASTERN - Please see the University Policies section of your Syllabus for details. Week Lecture Content Readings Activities and Assignments End / Due Date Weight (%)

### Los Angeles Pierce College. SYLLABUS Math 227: Elementary Statistics. Fall 2011 T Th 4:45 6:50 pm Section #3307 Room: MATH 1400

Los Angeles Pierce College SYLLABUS Math 227: Elementary Statistics Fall 2011 T Th 4:45 6:50 pm Section #3307 Room: MATH 1400 Instructor: Pauline Pham Office hours: T Th: 4:00 4:35 PM, Room Math 1409X

### MATH 101 E.S. COLLEGE ALGEBRA FALL 2011 SYLLABUS

Instructor: Phone: Office: Email: Office Hours: http://math.nicholls.edu/math/faculty.asp Link to Blackboard: http://blackboard.nicholls.edu M.E.W. Web Address: http://math.nicholls.edu/mew Text: Algebra

### MAT 1500: College Algebra for the Social and Management Sciences General Syllabus

MAT 1500: College Algebra for the Social and Management Sciences General Syllabus (See your section syllabus for specific instructor information, deadlines and points.) Course Description: This is a college

### Math 143 - College Algebra (Online)

Math 143 - College Algebra (Online) 3 Credits Term: Instructor: Spring 2010 Ken Floyd (208) 732-6583 Office Location: Office Hours: Shields 206E 1-2 PM, M - F E-mail: kfloyd@csi.edu 10 AM - Noon Saturday

### 430 Statistics and Financial Mathematics for Business

Prescription: 430 Statistics and Financial Mathematics for Business Elective prescription Level 4 Credit 20 Version 2 Aim Students will be able to summarise, analyse, interpret and present data, make predictions

### Graduate Handbook of the Mathematics Department. North Dakota State University May 5, 2015

Graduate Handbook of the Mathematics Department North Dakota State University May 5, 2015 Graduate Program Policies and Handbook 1 Graduate Committee Voting members of the Graduate Committee are the Graduate

### JMS, MAT150 THIS SYLLABUS, COURSE SCHEDULE, ASSIGNMENTS, AND EXAM DATES Summer 2014 ARE SUBJECT TO CHANGE AS CIRCUMSTANCES DICTATE.

SCOTTSDALE COMMUNITY COLLEGE MATHEMATICS DEPARTMENT MAT150, COLLEGE ALGEBRA CLASS# 16015 TIME: 12:10pm 2:20pm DAYS: M, Tu, W, Th LOCATION: CM 465 INSTRUCTOR: J. Michael Sinclair voice mail: 480-731-8866

### Social Work Statistics Spring 2000

The University of Texas at Austin School Of Social Work Social Work Statistics Spring 2000 Instructor: Jim Schwab Office: SSW 3.106b Phone Number: 471-9816 Office hours: Tuesday/Thursday, 2:00pm 4:00pm,

### Register for CONNECT using the code with your book and this course access information:

Business Statistics Fall 2014 Dr. Osyk 6500:304-004 T TH 3:15 4:30 pm CBA 144 Instructor: Dr. Barbara A. Osyk bao@uakron.edu OFFICE: CBA 368 330-972-5439 OFFICE HOURS: T TH 8:30 9:00 am, 1:30 3 pm (And

### Using SPSS, Chapter 2: Descriptive Statistics

1 Using SPSS, Chapter 2: Descriptive Statistics Chapters 2.1 & 2.2 Descriptive Statistics 2 Mean, Standard Deviation, Variance, Range, Minimum, Maximum 2 Mean, Median, Mode, Standard Deviation, Variance,

Basic Business Statistics Dr. Daniel Murgo QMB 2100 Basic Business Statistics - Summer B 2016 Section 1 (Reference 905538) Meeting Times Class lectures will take place on Tuesdays and Thursdays from 1:40PM

! BUAD 310 Applied Business Statistics Syllabus Fall 2013 Instructor: Gourab Mukherjee TA: Pallavi Basu Office: HOH 14 Office Hours: Tuesday and Wednesday 10AM-12 PM (location TBA) Office Hours: Tuesday

### Graduate Student Handbook of the Mathematics Department

Graduate Student Handbook of the Mathematics Department Department of Mathematics North Dakota State University October 7, 2015 1 1 General Information The Department of Mathematics offers graduate study

### Study Guide for the Final Exam

Study Guide for the Final Exam When studying, remember that the computational portion of the exam will only involve new material (covered after the second midterm), that material from Exam 1 will make

### West LA College Mathematics Department. Math 227 (4916) Introductory Statistics. Fall 2013 August 26 -- December 9, 2013

Course Title West LA College Mathematics Department Math 227 (4916) Introductory Statistics Fall 2013 August 26 -- December 9, 2013 Instructor Information Instructor: Ms. W. Miao Office Hours: 7:55-8:30

### Phone: (773) 481-8488 Spring 2015. Office hours: MW 7:30-8:20 and 11:00-12:20, T 7:30-7:50 and 9:55-12:15

Math 140 BDYR Prof. Hellen Colman Email: hcolman@ccc.edu Office: L309 College Algebra Hybrid Class Tuesdays 8:00AM 9:45AM Phone: (773) 481-8488 Spring 2015 Office hours: MW 7:30-8:20 and 11:00-12:20, T

### MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS

MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS Instructor: Mark Schilling Email: mark.schilling@csun.edu (Note: If your CSUN email address is not one you use regularly, be sure to set up automatic

### F l o r i d a G u l f C o a s t U n i v e r s i t y S t a t i s t i c a l M e t h o d s F a l l 2 0 1 2 - C R N 8 1 1 2 6

F l o r i d a G u l f C o a s t U n i v e r s i t y S t a t i s t i c a l M e t h o d s F a l l 2 0 1 2 - C R N 8 1 1 2 6 Instructor: Larry L. Southard, M.A. Email: lsouthar@fgcu.edu Telephone: (239) 590-7420

### Probability and Statistics Vocabulary List (Definitions for Middle School Teachers)

Probability and Statistics Vocabulary List (Definitions for Middle School Teachers) B Bar graph a diagram representing the frequency distribution for nominal or discrete data. It consists of a sequence

### Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108

Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108 Department of Urban Studies Email: w.weizer @csuohio.edu Instructor: Winifred Weizer

### Lake-Sumter Community College Course Syllabus. STA 2023 Course Title: Elementary Statistics I. Contact Information: Office Hours:

Lake-Sumter Community College Course Syllabus Course / Prefix Number: STA 2023 Course Title: Elementary Statistics I CRN: 10105 (T TH) 10106 (M W) Credit: 3 Term: Fall 2011 Course Catalog Description:

Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Online Learning Centre Technology Step-by-Step - Excel Microsoft Excel is a spreadsheet software application

### IE 3255 Syllabus-Spring 2007 1

IE 3255. Statistical Quality Control 3.0 cr; prerequisite: Stat 3611, BSIE or BSME candidate, or Instructor Consent Statistical quality control in manufacturing; modeling, process quality, control charts,

### MATH 245 COLLEGE ALGEBRA Section 0251 10:55 1:30

MATH 245 COLLEGE ALGEBRA Section 0251 10:55 1:30 Instructor: Ms. L. K. Deutsch Office Hours: MW 1:30 3:50 PM Office & Office Phone: C2.123-2 323-780-6735 Textbook: College Algebra Lial, Hornsby and Schneider

### MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Final Exam Review MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) A researcher for an airline interviews all of the passengers on five randomly

### MATH 1080-Sec 003: Polynomial Calculus Fall 2015

MATH 1080-Sec 003: Polynomial Calculus Fall 2015 Instructor: Monica Pescitelli Course dates/times: TuTh 9:30-10:45 Office: CU Building 4212 Course Location: King 218 E-mail: monica.pescitelli@ucdenver.edu